Susmita Bhaduri

Moonshot Analytics and Design · Data Analytics

Emotions(like fear,anger,sadness,happiness etc.) are the fundamental features of human behavior and governs his/her mental health. The subtlety of emotional fluctuations can be examined through perturbation in conversations or speech. Analysis of emotional state of a person from acoustical features of speech signal leads to discovery of vital cues...

Search for SUSY in HEP is of enormous interest for the past few decades. Continuous searches were conducted at LHC regarding SUSY for prompt, non-prompt, R-parity conserving and violating generation and decays. The limits obtained from these analysis to detect the signatures of SUSY particles, revealed greater possibilities of such experiments in c...

Traditionally invariant-mass/transverse-momentum methods were being used to probe various resonance-states in high-energy-collision. Here, we have done scaling analysis by implementing complex-network-based-method (a chaos-based-approach) of visibility-graph to analyze different resonance-states. In the process we use scaling-exponent [power of sca...

For the last several decades, there has been tremendous interest in search for Supersymmetry (SUSY) in the area of high energy physics. At Large Hadron Collider (LHC), there have been continuous searches for SUSY for prompt and non-prompt, for particle R-parity conserving and R-parity violating generation and decays. The limits obtained from these...

An extensive knowledge of the dynamics of the process of pp collision serves as input to exhaustive theoretical models of strong interaction. This knowledge is also a baseline for a system to decipher the dynamics of AA collisions at relativistic and ultrarelativistic energies. Recent availability of di-muon data has triggered a spate of interests...

Tanpura-drone is one of the most commonly used string instrument used as accompaniment with vocal of other musical forms of Indian Classical Music genre. It is an exceptional and intriguing one owing to its capability of the generation of rich pattern of fine overtones. The acoustic analysis of tanpura signal had been initiated by C.V. Raman. Raman...

A deailed knowledge of pp collision is required both as input to comprehensive theoretical models of strong interactions and as baseline to decipher the AA collisions at relativistic and ultrarelativistic energies, which has been of great interest in the area of theoretical and experimental physics. The multiplicity distribution of particles produc...

Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated sc...

Chaos and complex-network based study is performed to look for signature of phase transition in Pb–Pb collision data sample at 2.76 TeV per nucleon pair from ALICE Collaboration. The analysis is done on the pseudorapidity (η) values extracted from the data of the experiment and the methods used are Multifractal-Detrended-Fluctuation-Analysis (MF-DF...

Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell-Yan processes is immensely important as these processes enable u...

A complex network and chaos-based method, based on the visibility graph algorithm, is applied to study particle fluctuations in π⁻–AgBr interactions at 350 GeV with respect to the shower multiplicity dependence. The fractal structure of the fluctuations is studied by using the power of scale freeness of visibility graph (PSVG). The selection of vis...

The multiplicity-distribution of High-Energy-Interaction, had earlier been analysed w.r.t. clan-model and Negative-Binomial-Distribution (NBD), which described the underlying particle production process by means of cascading mechanism. Clan was defined to contain the particles stemming from the same ancestor [1] and Average-multiplicity within clan...

Chaos and complex-network based study is performed to look for signature of phase transition in Pb-Pb collision data sample at 3.5 TeV from ALICE Collaboration. The analysis is done on the pseudorapidity(eta) values extracted from the data of ALICE experiment and the methods used are Multifractal-Detrended Fluctuation Analysis(MF-DFA), and a rigoro...

Recently, a complex network based method of visibility graph has been applied to confirm the scale-freeness and presence of fractal properties in the process of multiplicity fluctuation. Analysis of data obtained from experiments on hadron-nucleus and nucleus-nucleus interactions results in values of Power of Scale-Freeness of Visibility Graph (PSV...

Speech and music signals are multifractal phenomena. The time displacement profile of speech and music signal show strikingly different scaling behaviour. However, a full complexity analysis of their frequency and amplitude has not been made so far. We propose a novel complex network based approach (Visibility Graph) to study the scaling behaviour...

Recently, a complex-network based method of Visibility-Graph has been applied to confirm the scale-freeness and the fractal properties of the process of multiplicity fluctuation. Experiments have been carried out over the data of hadron-nucleus and nucleus-nucleus interactions and then analysing the values Power-of-Scale-freeness-of-Visibility-Grap...

Various works on multiplicity fluctuation have investigated the dynamics of particle production process and eventually have tried to reveal a signature of phase transition in ultra-relativistic nuclear collisions. Analysis of fluctuations of spatial patterns has been conducted in terms of conventional approach. However, analysis with fractal dynami...

In the endeavour to study fluctuation and a signature of phase transition in ultrarelativistic nuclear collision during the process of particle production, an approach based on chaos and complex network is proposed. In this work we have attempted an exhaustive study of pion fluctuation in \(\eta\) space, \(\phi\) space, their cross-correlation and...

Study of RR interval time series for Congestive Heart Failure had been an area of study with different methods including non-linear methods. In this article the cardiac dynamics of heart beat are explored in the light of complex network analysis, viz. visibility graph method. Heart beat (RR Interval) time series data taken from Physionet database [...

Multiplicity fluctuation provides enough information concerning the dynamics of particle production process and even signature of phase transition from hadronic to QGP phase expected in ultrarelativistic nuclear collision. Numerous analyses reported on the fluctuation pattern of pions have been studied from theoretical and phenomenological approach...

In North-Indian-Music-System(NIMS),tabla is mostly used as percussive accompaniment for vocal-music in polyphonic-compositions. The human auditory system uses perceptual grouping of musical-elements and easily filters the tabla component, thereby decoding prominent rhythmic features like tala, tempo from a polyphonic composition. For Western music,...

We propose a new approach for studying pion fluctuation for deeper understanding of the dynamical process involved, from a perspective of fBm-based complex network analysis method called Visibility graph Analysis. This chaos-based, rigorous, non-linear technique is applied to study the erratic behavior of multipion production in \textbf{$\pi^{-}$-A...

There are numerous existing works on investigating the dynamics of particle production process in ultrarelativistic nuclear collision. In the past, fluctuation of spatial pattern has been analyzed in terms of the scaling behavior of voids. But analysis of the scaling behavior of the void in fractal scenario has not been explored yet. In this work,...

We give emphasis on the use of chaos-based rigorous nonlinear technique called Visibility Graph Analysis, to study one economic time series - gold price of USA. This method can offer reliable results with fiinite data. This paper reports the result of such an analysis on the times series depicting the fluctuation of gold price of USA for the span o...

Various existing works on multiplicity fluctuation probed about the dynamics of particle production process and eventually signature of phase transition in ultrarelativistic nuclear collision. Fluctuation of spatial pattern has also been analyzed in terms of the scaling behavior of voids. However, analysis of the scaling behavior of the void from f...

Audio signal categorization is one of the rudimentary steps in applications like content-based audio information retrieval, audio indexing, speaker identification, and so on. In this work, a rigorous, non-stationary methodology capable of categorization among speech and various music signals is proposed. Multifractal detrended fluctuation analysis...

We study the fractality of void probability distribution measured in S 32 -Ag/Br interaction at an incident energy of 200 GeV per nucleon. A radically different and rigorous method called Visibility Graph analysis is used. This method is shown to reveal a strong scaling character of void probability distribution in all pseudorapidity regions. The s...

Nowadays depression is a well-known cause of various mental health impairments, impacting the quality of our personal and social lives. Severe depression leads to suicidal tendency, particularly in young people. Detection and assessment of depression and suicidal tendency is a difficult task, due to their complex clinical attributes. Their key symp...

Speech emotion recognition has become crucial in the field of human computer interaction for important applications like early detection of Alzheimer's Disease- (hereafter AD). The aim of the present paper is to introduce a new feature for emotion detection from speech using the Multi Fractal Detrended Fluctuation Analysis (MFDFA) method. We propos...

Objective: The objective of this work is to formulate biomarkers based on visibility graph technique for early detection of sudden cardiac arrests. Background: Sudden cardiac arrest is a serious medical condition claiming numerous lives across the globe. The fact that in most cases the victim succumbs to death within an hour of the onset of symptom...

The Indian classical music system follows a cyclic perception as against the linear approach of reductionist concept in Western music. In every tāla, there exists a pattern of tangible and intangible events that keeps on repeating in smaller cycles. If such repeating pattern is detected, it will be an important step in the context of rhythm analysi...

Perceived tempo for tablaa accompaniment in a composition, is an important parameter to represent and transcript the rhythmic pattern of a composition, in the context of Indian classical music. If such parameters can be detected then it enables organized archiving and retrieval of rhythm data in Music Information Retrieval system. A simple and nove...

Usual techniques for electroencephalographic (EEG) data analysis lack some of the important properties essential for quantitative assessment of the progress of the dysfunction of the human brain. EEG data are essentially nonlinear and this nonlinear time series has been identified as multi-fractal in nature. We need rigorous techniques for such ana...

In the context of Indian classical music, matra and Tempo are two important parameters to represent the rhythmic pattern of a composition. Detection of such parameters enables organized archiving and retrieval of music data. In this work, a simple methodology for detecting matra and Tempo is presented. It is based on the extraction of basic beat pa...